Answer:
The sample size is too small and will show a large variation.
The sample size is too small and can lead to false inferences.
A larger sample will give more reliable information.
Step-by-step explanation:
-In statistical sampling, sample size is of critical importance.
-A large sample size increases the accuracy of mean values as it eliminates or flattens out outliers.
-A large sample size also leads to a lower margin of error as the confidence level increases.
-The is greater precision when a larger sample size is used.
Answer:
-19
Step-by-step explanation:
f(x) = -11 + 8x
f(-1) =-11 + 8(-1)
= -11 -8
= -19
105.60-75=35.60
35.60/.30=102
1000+102=1102. He used 1102 minutes
There is no whole number and .57 is the part...
